In:
Applied Sciences, MDPI AG, Vol. 11, No. 11 ( 2021-05-29), p. 5051-
Abstract:
We present a prototype to identify eye states from electroencephalography signals captured from one or two channels. The hardware is based on the integration of low-cost components, while the signal processing algorithms combine discrete wavelet transform and linear discriminant analysis. We consider different parameters: nine different wavelets and two features extraction strategies. A set of experiments performed in real scenarios allows to compare the performance in order to determine a configuration with high accuracy and short response delay.
Type of Medium:
Online Resource
ISSN:
2076-3417
Language:
English
Publisher:
MDPI AG
Publication Date:
2021
detail.hit.zdb_id:
2704225-X